DocumentCode
2939719
Title
A comparison of maximum likelihood sequence detection and nonlinear decision feedback equalization on the digital magnetic recording channel
Author
Sands, Nicholas P. ; Cioffi, John M.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear
1991
fDate
2-5 Dec 1991
Firstpage
2146
Abstract
The magnetic recording channel at high-density exhibits significant nonlinear intersymbol interference, which degrades the performance of linear equalization techniques. The RAM-DFE has been proposed as a solution to the problem, in which a digital RAM is used in the feedback path of a decision feedback equalizer (DFE). It is capable of canceling the nonlinear post-cursor intersymbol interference. Maximum-likelihood sequence detection (MLSD) offers the best performance attainable on these binary-input finite-memory channels; however, the complexity grows exponentially with the memory length. It was found that about 6 dB of detection signal-to-noise ratio is lost to nonlinear effects, and the RAM-DFE can retrieve about 1.5 dB. A gap of about 6 dB remains between the RAM-DFE performance and the MLSD bound, which suggests the possibility of improved receivers for nonlinear channels
Keywords
equalisers; magnetic recording; maximum likelihood estimation; random-access storage; signal detection; RAM-DFE; binary-input finite-memory channels; digital RAM; digital magnetic recording channel; intersymbol interference; maximum likelihood sequence detection; memory length; nonlinear channels; nonlinear decision feedback equalisation; nonlinear post-cursor intersymbol interference; signal-to-noise ratio; Automata; Decision feedback equalizers; Degradation; Digital magnetic recording; Information systems; Laboratories; Maximum likelihood detection; Maximum likelihood estimation; Random access memory; Read-write memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1991. GLOBECOM '91. 'Countdown to the New Millennium. Featuring a Mini-Theme on: Personal Communications Services
Conference_Location
Phoenix, AZ
Print_ISBN
0-87942-697-7
Type
conf
DOI
10.1109/GLOCOM.1991.188735
Filename
188735
Link To Document